4db38ba4d3
- Add 6 MCP server documentation pages (bc-code-intelligence, al-dependency, azure-devops, serena, al-objid, clockify) - Add AI Coding Agents documentation (GitHub Copilot, Claude, Cursor) - Add Getting Started section (what is agentic coding, setup, prompting, best practices, limitations, glossary) - Add Getting More section (code review, documentation, telemetry examples) - Add Community Resources placeholders (articles, videos, tools) - Update Tools section to focus on MCP servers instead of VSCode extensions
128 lines
3.9 KiB
Markdown
128 lines
3.9 KiB
Markdown
---
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title: "What is Agentic Coding?"
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linkTitle: "What is Agentic Coding"
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weight: 1
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description: >
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Understanding AI-powered coding assistance and how it transforms development
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---
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## Overview
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**Agentic coding** is a development approach where you work collaboratively with AI-powered assistants (agents) that can understand context, generate code, provide suggestions, and help maintain your codebase. Unlike simple code completion tools, these agents can:
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- Understand natural language instructions
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- Analyze existing code and context
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- Generate complete implementations
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- Refactor and improve code
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- Explain complex code segments
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- Assist with debugging and problem-solving
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## How It Works
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AI coding assistants work by:
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1. **Understanding Context**: The agent analyzes your workspace, open files, and the surrounding code to understand what you're working on
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2. **Processing Instructions**: You provide instructions in natural language (or through inline comments)
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3. **Generating Solutions**: The agent creates code, documentation, or suggestions based on your needs
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4. **Iterative Refinement**: You review, provide feedback, and the agent adjusts the output
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## Key Capabilities for AL Development
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### Code Generation
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Generate AL code from natural language descriptions:
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- Complete procedures and functions
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- Table extensions and page extensions
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- API pages and queries
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- Event subscribers
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- Test code
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### Code Understanding
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Get help understanding existing code:
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- Explanations of complex logic
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- Documentation of dependencies
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- Impact analysis of changes
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### Code Improvement
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Enhance existing code:
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- Refactoring for better performance
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- Applying AL best practices
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- Modernizing legacy code
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- Adding error handling
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### Documentation
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Automatically create and maintain:
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- XML documentation comments
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- README files
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- API documentation
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- Code comments
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## Benefits for AL Developers
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### Faster Development
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- Quickly scaffold new objects and extensions
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- Implement common patterns without repetitive typing
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- Generate boilerplate code instantly
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### Higher Quality
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- Consistent application of best practices
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- Fewer common mistakes
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- Better code organization
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### Learning Accelerator
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- Learn AL patterns through examples
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- Understand Business Central APIs
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- Discover best practices in context
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### Reduced Cognitive Load
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- Focus on business logic, not syntax
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- Less context switching for documentation lookups
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- Automated handling of repetitive tasks
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## The Human-AI Partnership
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It's important to understand that agentic coding is a **collaborative** approach:
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### You Bring:
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- **Domain Knowledge**: Understanding of business requirements and Business Central functionality
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- **Decision Making**: Architectural choices and business logic decisions
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- **Quality Control**: Review and validation of generated code
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- **Context**: Specific requirements, constraints, and organizational standards
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### The AI Brings:
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- **Speed**: Rapid code generation and transformation
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- **Consistency**: Adherence to patterns and best practices
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- **Breadth**: Knowledge of many AL patterns and APIs
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- **Assistance**: Help with routine tasks and documentation
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## Common Use Cases
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### Daily Development
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- Creating new tables, pages, and codeunits
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- Implementing event subscribers
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- Writing test code
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- Adding XML documentation
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### Code Maintenance
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- Refactoring existing code
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- Adding telemetry to extensions
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- Improving error handling
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- Updating deprecated APIs
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### Code Review
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- Identifying potential issues
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- Suggesting improvements
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- Checking adherence to standards
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- Finding security concerns
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### Documentation
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- Generating README files
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- Creating API documentation
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- Writing user guides
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- Documenting complex algorithms
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## Next Steps
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Now that you understand what agentic coding is, learn how to:
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- [Set up your environment](../setup) for AI assistance
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- [Write effective prompts](../effective-prompting) to get better results
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- Follow [best practices](../best-practices) for AI-assisted development
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